Z-Inspection®: A Process to Assess Trustworthy AI

Roberto V. Zicari, John Brodersen, James Brusseau, Boris Düdder, Timo Eichhorn, Todor Ivanov, Georgios Kararigas, Pedro Kringen, Melissa McCullough, Florian Möslein, Naveed Mushtaq, Gemma Roig, Norman Stürtz, Karsten Tolle, Jesmin Jahan Tithi, Irmhild van Halem, Magnus Westerlund

Research output: Contribution to journalArticlepeer-review


The ethical and societal implications of artificial intelligence systems raise concerns. In this article, we outline a novel process based on applied ethics, namely, Z-Inspection ® , to assess if an AI system is trustworthy. We use the definition of trustworthy AI given by the high-level European Commission's expert group on AI. Z-Inspection ® is a general inspection process that can be applied to a variety of domains where AI systems are used, such as business, healthcare, and public sector, among many others. To the best of our knowledge, Z-Inspection ® is the first process to assess trustworthy AI in practice.
Original languageEnglish
Pages (from-to)83-97
JournalIEEE transactions on Technology and Society
Issue number2
Publication statusPublished - 17 Mar 2021

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